TSVM Based Fault Diagnosis for SFC Rectifying Thyristors in Combustion Gas Turbines
In this paper the fault diagnosis of SFC rectifying thyristors in combustion gas turbines are abstracted as mul-ti-classification tasks.A TSVM based multi-classification strategy is then proposed for fault diagnosis,fault type identification and faulty thyristor location in a hierarchical framework.With deep research on SFC rectifier bridge and simulation analysis,the input vectors for fault diagnosis model,fault type identification model,and fault location model are elaborately construct-ed.A simulation model of SFC rectifier bridge is constructed.Through fire angle regulation,22 cases are formed,and 2200 simulations are conducted.The obtained data sets are then used for model verification.The results show that the proposed strategy gets considerably high accuracies in fault diagnosis,fault type identification and fault location,respectively.
static frequency converterfault diagnosis for rectifying thyristorstwin support vector machine
NETL
NSTL
万方数据
